---
language:
- nl
license: mit
base_model: microsoft/speecht5_tts
tags:
- test
- generated_from_trainer
datasets:
- facebook/voxpopuli
model-index:
- name: SpeechT5 TTS NL
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# SpeechT5 TTS NL

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the VoxPopuli dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.4728
- eval_runtime: 4.3194
- eval_samples_per_second: 191.232
- eval_steps_per_second: 24.078
- epoch: 1273.5
- step: 149000

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 150000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.16.1
- Tokenizers 0.15.1